A look back at some items in our archives.
In this paper, we present soft computing tools and techniques aimed at realizing musical instruments that learn. Specifically we explore applications of neural network and fuzzy logic techniques to the design of instruments that form highly personalized relationships with their users through self-adaptation. We demonstrate techniques for adapting sensor arrays and techniques for realizing highly expressive real-time sound synthesis algorithms.
Adrian
Freed, Tristan Jehan
Adrian Freed
Adrian Freed
ABSTRACT
Adrian Freed
CNMAT, UC Berkeley, 1750 Arch Street, Berkeley, CA 947709
510 643 9990 adrian@cnmat.berkeley.edu
Tristan Jehan, Adrian Freed, Richard Dudas
CNMAT, UC Berkeley, 1750 Arch Street, Berkeley, CA 94709
(510) 643 9990 {tristan,adrian,dudas}@cnmat.berkeley.edu
Todd Hodes, Adrian Freed
Computer Science Division
University of California, Berkeley
hodes@cs.berkeley.edu
Center for New Music and Audio
Technologies
University of California, Berkeley
adrian@cnmat.berkeley.edu
Communication of Musical Gesture using the AES/EBU
Digital Audio Standard
Adrian Freed and David Wessel
CNMAT, 1750 Arch Street, Berkeley, CA 94709
(510) 643 9990, {adrian,wessel}@cnmat.berkeley.edu
Adrian Freed and Amar Chaudhary
CNMAT, 1750 Arch Street. Berkeley, CA 94709
(510) 643 9990, adrian@cnmat.berkeley.edu